code: def forward(self, x):
      h = self.h(x)
      if self.activation is not None:
          h = self.activation(self.h(x))
  
      g = self.sigmoid(self.g(x))
  
      return h * g
  
imports: import logging
  import os
  from typing import List
  import numpy
  import torch
  import torch.nn
  from pythae.data.preprocessors import DataProcessor
  from pythae.models import VAMP, AutoModel, VAMPConfig
  from pythae.models.base.base_utils import ModelOutput
  from pythae.models.nn import BaseDecoder, BaseEncoder
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
label_desc: Use image node_id 2 for calling the GatedDense obj's underlying member method code with example usage: obj.forward(x) and returns: unknown